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Excel Data Cleaning Jobs in Kansas (NOW HIRING)

Develop and maintain Excel reports and (ultimately) Power BI dashboards that support Customer Service research. * Perform data cleaning, quality checks, and validation to ensure accuracy of analytics ...

New

Develop and maintain Excel reports and (ultimately) Power BI dashboards that support Customer Service research. * Perform data cleaning, quality checks, and validation to ensure accuracy of analytics ...

New

Develop and maintain Excel reports and (ultimately) Power BI dashboards that support Customer Service research. * Perform data cleaning, quality checks, and validation to ensure accuracy of analytics ...

New

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data ... Adapts instruction using Excel, Google Sheets, SQL platforms, and visualization tools like Tableau ...

Data Analysis Tutor

Wichita, KS · Remote

$18 - $40/hr

Deep knowledge of data collection methods, data cleaning, descriptive statistics, data ... Adapts instruction using Excel, Google Sheets, SQL platforms, and visualization tools like Tableau ...

Assisting with data projects including data acquisition, cleaning, analysis, and visualization ... Familiarity with data analysis tools (Power BI, SQL Server, Excel, Tableau) * Work experience in ...

Maintain safety and security protocols, and clean work environments within the Data Center * Escort ... General knowledge of Windows and Linux operating systems and office suites (Word, Excel, etc.

Maintain safety and security protocols, and clean work environments within the Data Center * Escort ... General knowledge of Windows and Linux operating systems and office suites (Word, Excel, etc.

Marketing Coordinator/CSR

Haviland, KS · On-site

$37K - $51K/yr

Excel and Data Management This position requires Excel skills beyond basic data entry and ... Clean, sort, filter, reconcile, and organize large datasets. * Identify duplicate, missing, or ...

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Excel Data Cleaning information

What is Excel data cleaning?

Excel data cleaning refers to the process of identifying and correcting errors, inconsistencies, and inaccuracies in data sets using Microsoft Excel. This involves tasks such as removing duplicates, fixing formatting issues, handling missing values, and standardizing data for analysis or reporting. Effective data cleaning ensures that your data is reliable, accurate, and ready for further processing or analysis. It is a critical first step in any data management or data analysis project.

What are the key skills and qualifications needed to thrive as an Excel data cleaning specialist, and why are they important?

To thrive as an Excel Data Cleaning Specialist, you need strong attention to detail, advanced knowledge of Excel functions (such as VLOOKUP, FILTER, and TEXT functions), and experience with data management. Familiarity with Excel add-ins, Power Query, and sometimes knowledge of VBA scripting or other data processing tools is highly valuable. Analytical thinking, problem-solving, and effective communication help you interpret data requirements and collaborate with stakeholders. These skills ensure data accuracy, streamline workflows, and support reliable decision-making based on clean, usable datasets.

What are some common challenges faced in Excel data cleaning roles, and how can they be effectively managed?

One common challenge in Excel data cleaning is dealing with inconsistent or incomplete data, such as missing values, duplicate entries, or formatting issues. Effectively managing these challenges involves using Excel tools like filters, conditional formatting, and the 'Remove Duplicates' feature, as well as formulas like IF, ISBLANK, and VLOOKUP to identify and correct discrepancies. Collaborating closely with team members or data stakeholders is also important to clarify data definitions and ensure accuracy. Staying organized and documenting your cleaning process helps maintain data integrity and supports transparency for future audits or team reviews.

What is the difference between Excel Data Cleaning vs Data Analyst?

AspectExcel Data CleaningData Analyst
Required SkillsProficiency in Excel, data cleaning techniquesExcel, data analysis, visualization, statistical skills
Work EnvironmentPrimarily in Excel, small datasets, ad hoc tasksMultiple tools, larger datasets, reporting and insights
CertificationsExcel certifications, data cleaning coursesData analysis certifications (e.g., Microsoft, Coursera)
Industry UsageData preparation, cleaning for various rolesData interpretation, decision-making, reporting

Excel Data Cleaning focuses on preparing and cleaning data within Excel, often for immediate use. Data Analysts perform broader analysis, interpret data, and generate reports, often using multiple tools. While data cleaning is a key skill for analysts, the roles differ in scope and complexity.

What are popular job titles related to Excel Data Cleaning jobs in Kansas?

For Excel Data Cleaning jobs in Kansas, the most frequently searched job titles are:

What cities in Kansas are hiring for Excel Data Cleaning jobs?

Cities in Kansas with the most Excel Data Cleaning job openings:

Infographic showing various Excel Data Cleaning job openings in Kansas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Rates and Data Analyst

Midwest Energy, Inc.

Hays, KS • On-site

Full-time

Posted 2 days ago

New


Job description

On-Site | Midwest Energy Corporate Office, Hays, KS
Job Summary (Overall Purpose of the Position)
The Rates and Data Analyst provide analytical and reporting support for rate development and implementation as well as supporting analytics needed across customer service operations. This position performs entry to intermediate-level data analysis, supports rate and tariff work, and develops dashboards and reports. The Analyst works with moderate independence and is responsible for transforming raw data into actionable insights, maintaining recurring reports, and contributing to data-driven decision-making. This role supports enterprise analytics efforts by developing meaningful visualizations, ensuring data quality, and assisting in process improvements that strengthen Midwest Energy's analytics capabilities. At times, the Rates and Data Analyst acts as the customer-facing expert on rates for Midwest Energy.
Job Duties - Responsibilities � Tasks
Rates and Tariff
  1. Assist the Rates and Tariff Manager with data collection and analysis.
  2. Research and resolve issues and questions involving rates and tariffs. Make changes to tariff documents as issues are identified.
  3. Support load forecasting, revenue forecasting, and rate design analyses.
  4. Analyze customer usage patterns, load profiles, customer classes, and seasonal trends using billing and AMI data.
  5. Examine and track external factors affecting energy and gas sales volumes, including weather and economic factors.
  6. Prepare rate comparison analyses and assist Customer Service Representatives with complex billing issues.
  7. Manage the renewable generation interconnection program, guiding customers and vendors through the process, and coordinating with the engineering department for final approval.

Utility Data Analytics
  1. Develop and maintain Excel reports and (ultimately) Power BI dashboards that support Customer Service research.
  2. Perform data cleaning, quality checks, and validation to ensure accuracy of analytics outputs.
  3. Conduct usage trend analysis, load pattern studies, and customer segmentation work under guidance from Rates & Tariff Manager.
  4. Document data workflows, reporting processes, and standard operating procedures.
  5. Assist in enhancing enterprise reporting structures, data governance practices, and routine analytics processes.
  6. Provide ad-hoc insights and data summaries for management, rate design, outage analysis, and customer programs.

General
  1. Participate in special projects that involve data analysis, reporting improvements, or new analytics initiatives.
  2. Build effective working relationships with internal departments to understand data needs and deliver timely information.
  3. Promote safe working habits and follow all safety rules and regulations of Midwest Energy.
  4. Maintain awareness of changes in local, state, and federal rules that may impact Midwest Energy.
  5. Build internal and external relationships to enhance data-sharing, communication, and effective customer service.
  6. Perform other duties as assigned.

Education and Experience
  1. Bachelor's degree in analytics, economics, business, accounting, engineering, information systems, or related field; or equivalent combination of education and relevant work experience.
  2. 1�3 years of experience summarizing data into reports or building simple reports, or a related role preferred. Experience directly in data analytics or business intelligence preferred.
  3. Beginning proficiency with Excel, including summary statistics, formulas, lookups, and data transformation, required.
  4. Ability and wiliness to learn tools such as Power BI and SQL required.
  5. Utility industry experience helpful but not required.
  6. Solid understanding of basic statistics, data validation, and quality control, required.

Key Competencies
  1. Applies sound analytical judgment by reviewing data carefully, identifying patterns or inconsistencies, and using available information to support accurate conclusions.
  2. Demonstrates Intellectual curiosity by asking thoughtful questions and seeking to understand complex data.
  3. Applies a structured approach to problem-solving by gathering relevant information, evaluating possible causes, and supporting data-driven recommendations.
  4. Manages work independently; manages assigned tasks, follows established processes, asks questions when needed, and takes ownership of completing accurate work.
  5. Ability to extract synthesize insights from structured datasets and communicate findings
  6. Ability to manage multiple assignments, meet deadlines, and adapt to shifting priorities.
  7. Effective verbal and written communication with both technical and non-technical audiences.
  8. Models a team-oriented mindset by collaborating with multiple departments to understand data needs and share information.
  9. Takes initiative to improve processes.

Posting Close Date: September 8, 2026
Equal Opportunity Employer